代码搜索：Quantization
找到约 3,139 项符合「Quantization」的源代码
代码结果 3,139
www.eeworm.com/read/130698/14177669
m nnpin.m
function y = nnpin(x,a,b,q)
%NNPIN Neural Network Design utility function.
% NNPIN(X,A,B,Q)
% X - Number or matrix.
% A - Lower bound.
% B - Upper bound.
% Q - Quantization constant (o
www.eeworm.com/read/231140/14253778
h helpfun.h
/******************************************************************
iLBC Speech Coder ANSI-C Source Code
helpfun.h
Copyright (c) 2001,
www.eeworm.com/read/231140/14254248
c table.c
/*
* Copyright 1992 by Jutta Degener and Carsten Bormann, Technische
* Universitaet Berlin. See the accompanying file "COPYRIGHT" for
* details. THERE IS ABSOLUTELY NO WARRANTY FOR THIS SOFTWA
www.eeworm.com/read/225025/14557527
c table.c
/*
* Copyright 1992 by Jutta Degener and Carsten Bormann, Technische
* Universitaet Berlin. See the accompanying file "COPYRIGHT" for
* details. THERE IS ABSOLUTELY NO WARRANTY FOR THIS SOFTWARE.
www.eeworm.com/read/122236/14712510
m nnpin.m
function y = nnpin(x,a,b,q)
%NNPIN Neural Network Design utility function.
% NNPIN(X,A,B,Q)
% X - Number or matrix.
% A - Lower bound.
% B - Upper bound.
% Q - Quantization constant (o
www.eeworm.com/read/217119/14978207
ch contrl.ch
/* LPC Processing control variables:
*/
/* Files for Speech, Parameter, and Bitstream Input & Output,
and message and debug outputs.
*/
#if ANALYZER + SYNTHESIZER
#include
exter
www.eeworm.com/read/216443/15006615
m examp_compression.m
%EXAMP_COMPRESSION Image compression example
%
% This examples shows how to do image compression using a
% two-dimensional Wilson transform.
%
% The image is transformed using an orthonormal DW
www.eeworm.com/read/216045/15028692
m uq_dist.m
function [y,dist]=uq_dist(funfcn,b,c,n,delta,s,tol,p1,p2,p3)
%UQ_DIST returns the distortion of a uniform quantizer
% with quantization points set to the centroids
% [Y,DIST]=UQ_DIST(FUNFCN,B
www.eeworm.com/read/216045/15028727
m lloydmax.m
function [a,y,dist]=lloydmax(funfcn,b,n,tol,p1,p2,p3)
%LLOYDMAX returns the the Lloyd-Max quantizer and the mean-squared
% quantization error for a symmetric distribution
% [A,Y,DIST]
www.eeworm.com/read/215983/15031360
m nnpin.m
function y = nnpin(x,a,b,q)
%NNPIN Neural Network Design utility function.
% NNPIN(X,A,B,Q)
% X - Number or matrix.
% A - Lower bound.
% B - Upper bound.
% Q - Quantization constant (o